{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "compliant-oxygen",
   "metadata": {},
   "outputs": [],
   "source": [
    "# elasticsearch related imports\n",
    "import eland as ed\n",
    "from elasticsearch import Elasticsearch, helpers\n",
    "import requests\n",
    "from requests.auth import HTTPBasicAuth\n",
    "\n",
    "# data wrangling and visualization\n",
    "from matplotlib import pylab as plt\n",
    "import pandas as pd\n",
    "from sklearn.datasets import make_classification\n",
    "from sklearn import metrics\n",
    "import seaborn as sns\n",
    "from IPython.display import Markdown, display\n",
    "\n",
    "# other utils\n",
    "import json\n",
    "import pprint\n",
    "import time"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "hydraulic-google",
   "metadata": {},
   "source": [
    "# Choosing the class assignment objective\n",
    "\n",
    "---\n",
    "#### TL;DR\n",
    "\n",
    "* The default objective `maximize_minimum_recall` should work well for most cases.\n",
    "* You should explicitly use the `maximize_minimum_recall` objective if you have an unbalanced data set and you are interested in high recall on the rare class.\n",
    "* You should use the `maximize_accuracy` objective if you have a balanced data set and you are interested in high accuracy and precision.\n",
    "---\n",
    "\n",
    "When creating a classification analysis job in Elasticsearch, you can specify the [`class_assignment_objective`](https://www.elastic.co/guide/en/elasticsearch/reference/7.10/put-dfanalytics.html#ml-put-dfanalytics-request-body) using one of two parameters: `maximize_accuracy` and `maximize_minimum_recall`. Depending on your goal and your data set, you may prefer a different option. \n",
    "\n",
    "When evaluating results of a classification job one can be interested in one of three different metrics: [precision, recall, and accuracy](https://en.wikipedia.org/wiki/Precision_and_recall). Let's recap what they do, using an example of a test for a not further specified virus.  \n",
    "- **Precision** is the fraction of relevant instances among the retrieved instances. Precision gives us two numbers: \n",
    "    1. What is the percentage of healthy people among those that were identified as \"healthy\" by the test and \n",
    "    2. What is the percentage of infected people among those that were identified as \"infected\" by the test.\n",
    "- **Recall** is the fraction of relevant instances that were retrieved. Again, recall gives us two numbers: \n",
    "    1. What is the percentage of people identified as \"healthy\" by the test among all healthy people and \n",
    "    2. What is the percentage of people identified as \"infected\" among all infected people.\n",
    "- **Accuracy** is the fraction of relevant instances among all instances. It gives us a single number: the percentage of correctly identified healthy and infected people among all tested people.\n",
    "\n",
    "There is a trade-off between maximizing precision and recall. For example, labeling all people as \"infected\" will get us 100% but recall for infected people, since we identified all infected people in the sample, but only a very small precision since we misclassified many healthy people as \"infected\" as well.\n",
    "\n",
    "Let's now look at how the different class assignment objectives `maximize_accuracy` and `maximize_minimum_recall` in Elasticsearch ML affect precision, recall, and accuracy on different synthetics data sets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "banned-budapest",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some general notebook setting\n",
    "host = 'http://localhost:9200'\n",
    "# IMPORTANT: create a file credentials.json with credentials for your Elasticsearch instance!\n",
    "with open('credentials.json') as f:\n",
    "    data = json.load(f)\n",
    "    username = data['username']\n",
    "    password = data['password']  \n",
    "es = Elasticsearch(host, http_auth=(username, password))\n",
    "\n",
    "def run_job(analysis_job_id: str, source_index: str, dest_index:str, class_assignment_objective:str):\n",
    "    \"\"\"Run a data frame analytics job to completion.\n",
    "\n",
    "    Args:\n",
    "      analysis_job_id (str): Base name of the analysis job\n",
    "      source_index (str): Source index\n",
    "      dest_index (str): Base name of the destination index\n",
    "      class_assignment_objective (str): Class assignment objective. Can be 'maximize_accuracy' \n",
    "                                        or 'maximize_minimum_recall'\n",
    "    \"\"\"\n",
    "    destination = \"_\".join([dest_index, class_assignment_objective])\n",
    "    job_id = \"_\".join([analysis_job_id, class_assignment_objective])\n",
    "    api = '/_ml/data_frame/analytics/{}'.format(job_id)\n",
    "    config = {\n",
    "      \"description\": \"\",\n",
    "      \"source\": {\n",
    "        \"index\": source_index,\n",
    "        \"query\": {\n",
    "          \"match_all\": {}\n",
    "        }\n",
    "      },\n",
    "      \"dest\": {\n",
    "        \"index\": destination,\n",
    "        \"results_field\": \"ml\"\n",
    "      },\n",
    "      \"analysis\": {\n",
    "        \"classification\": {\n",
    "          \"dependent_variable\": \"target\",\n",
    "          \"training_percent\": 85,\n",
    "          \"randomize_seed\": 42,\n",
    "            \"class_assignment_objective\": class_assignment_objective\n",
    "        }\n",
    "      },\n",
    "      \"model_memory_limit\": \"1gb\",\n",
    "      \"max_num_threads\": 1\n",
    "    }\n",
    "    requests.put(host+api, auth=HTTPBasicAuth(username, password),  json=config).json()\n",
    "\n",
    "    api = \"/_ml/data_frame/analytics/{}/_start\".format(job_id)\n",
    "    requests.post(host+api, auth=HTTPBasicAuth(username, password)).json()\n",
    "\n",
    "    api = \"/_ml/data_frame/analytics/{}/_stats\".format(job_id)\n",
    "    while True:\n",
    "        results = requests.get(host+api, auth=HTTPBasicAuth(username, password),).json()\n",
    "        state = results['data_frame_analytics'][0]['state']\n",
    "        if state == 'stopped':\n",
    "            break\n",
    "        time.sleep(1)\n",
    "\n",
    "def evaluate(dest_index: str, class_assignment_objective: str):\n",
    "    \"\"\"Evaluation prediction results form the data frame analytics job.\n",
    "    \n",
    "    Args:\n",
    "      dest_index (str): Base name of the destination index\n",
    "      class_assignment_objective (str): Class assignment objective. Can be 'maximize_accuracy' \n",
    "                                        or 'maximize_minimum_recall'\n",
    "    \"\"\"\n",
    "    destination = \"_\".join([dest_index, class_assignment_objective])\n",
    "    evaluate_train_config = {\n",
    "      \"index\": destination, \n",
    "      \"evaluation\": {\n",
    "        \"classification\": {\n",
    "          \"actual_field\": \"target\", \n",
    "          \"predicted_field\": \"ml.target_prediction\",\n",
    "          \"metrics\": {\n",
    "            \"accuracy\": {},\n",
    "            \"precision\": {},\n",
    "            \"recall\": {}\n",
    "          }\n",
    "        }\n",
    "      }\n",
    "    }\n",
    "    api = \"/_ml/data_frame/_evaluate\"\n",
    "    results = requests.post(host+api, auth=HTTPBasicAuth(username, password), json=evaluate_train_config).json()\n",
    "    return results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "administrative-locator",
   "metadata": {},
   "source": [
    "## Balanced classes\n",
    "\n",
    "We begin by looking at a balanced classification data set where the number of data points for class 0 and class 1 are about the same. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "played-seeking",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "analysis_job_id = 'classification_balanced'\n",
    "dest_index = 'classification_balanced_result'\n",
    "source_index = 'classification_balanced'\n",
    "\n",
    "X_balanced,y_balanced = make_classification(n_samples=1000, n_features=2, n_informative=2,\n",
    "                          n_redundant=0, n_repeated=0, n_classes=2, n_clusters_per_class=2,\n",
    "                          class_sep=0.5,flip_y=0,weights=[0.5,0.5], random_state=42)\n",
    "\n",
    "balanced_pd_df = pd.DataFrame(X_balanced, columns=['x1','x2'])\n",
    "balanced_pd_df['target'] = y_balanced\n",
    "\n",
    "balanced_ed_df = ed.pandas_to_eland(pd_df=balanced_pd_df, es_client=es, \n",
    "                   es_dest_index=source_index, es_if_exists='replace',\n",
    "                   es_refresh=True)\n",
    "\n",
    "# train models with different class assignment objectives\n",
    "run_job(analysis_job_id=analysis_job_id, source_index=source_index, \n",
    "        dest_index=dest_index, class_assignment_objective='maximize_accuracy')\n",
    "run_job(analysis_job_id=analysis_job_id, source_index=source_index, \n",
    "        dest_index=dest_index, class_assignment_objective='maximize_minimum_recall')\n",
    "\n",
    "# plot results\n",
    "results_balanced_maxacc = ed.DataFrame(es_client=es, \n",
    "                                        es_index_pattern=\"_\".join([dest_index, 'maximize_accuracy']), \n",
    "                       columns=['x1','x2','target','ml.target_prediction',\n",
    "                                'ml.is_training', 'ml.prediction_probability', 'ml.prediction_score',\n",
    "                               'ml.top_classes'])\n",
    "results_balanced_maxminrecall = ed.DataFrame(es_client=es, \n",
    "                                              es_index_pattern=\"_\".join([dest_index, 'maximize_minimum_recall']), \n",
    "                       columns=['x1','x2','target','ml.target_prediction',\n",
    "                                'ml.is_training', 'ml.prediction_probability', 'ml.prediction_score',\n",
    "                               'ml.top_classes'])\n",
    "\n",
    "results_balanced_maxacc = ed.eland_to_pandas(results_balanced_maxacc)\n",
    "results_balanced_maxminrecall = ed.eland_to_pandas(results_balanced_maxminrecall)\n",
    "\n",
    "f, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(20,5))\n",
    "sns.scatterplot(x=balanced_pd_df['x1'], y=balanced_pd_df['x2'], \n",
    "                hue=balanced_pd_df['target'], ax=ax1)\n",
    "ax1.set_title('Original balanced data set')\n",
    "sns.scatterplot(x=results_balanced_maxacc['x1'], y=results_balanced_maxacc['x2'], \n",
    "                hue=results_balanced_maxacc['ml.target_prediction'], ax=ax2)\n",
    "ax2.set_title('Maximum accuracy classification')\n",
    "sns.scatterplot(x=results_balanced_maxminrecall['x1'], y=results_balanced_maxminrecall['x2'], \n",
    "                hue=results_balanced_maxminrecall['ml.target_prediction'], ax=ax3)\n",
    "ax3.set_title('Maximum minimum recall classification')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "imposed-madness",
   "metadata": {},
   "source": [
    "Looking at the prediction results, we see that both class assignment objectives lead to qualitatively similar results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "impressed-liability",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "**Evaluation results for maximize_accuracy**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'classification': {'accuracy': {'classes': [{'class_name': '0',\n",
      "                                              'value': 0.897},\n",
      "                                             {'class_name': '1',\n",
      "                                              'value': 0.897}],\n",
      "                                 'overall_accuracy': 0.897},\n",
      "                    'precision': {'avg_precision': 0.9029982255896768,\n",
      "                                  'classes': [{'class_name': '0',\n",
      "                                               'value': 0.8538324420677362},\n",
      "                                              {'class_name': '1',\n",
      "                                               'value': 0.9521640091116174}]},\n",
      "                    'recall': {'avg_recall': 0.897,\n",
      "                               'classes': [{'class_name': '0', 'value': 0.958},\n",
      "                                           {'class_name': '1',\n",
      "                                            'value': 0.836}]}}}\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "**Evaluation results for maximize_minimum_recall**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'classification': {'accuracy': {'classes': [{'class_name': '0',\n",
      "                                              'value': 0.903},\n",
      "                                             {'class_name': '1',\n",
      "                                              'value': 0.903}],\n",
      "                                 'overall_accuracy': 0.903},\n",
      "                    'precision': {'avg_precision': 0.903079003484683,\n",
      "                                  'classes': [{'class_name': '0',\n",
      "                                               'value': 0.9087221095334685},\n",
      "                                              {'class_name': '1',\n",
      "                                               'value': 0.8974358974358975}]},\n",
      "                    'recall': {'avg_recall': 0.903,\n",
      "                               'classes': [{'class_name': '0', 'value': 0.896},\n",
      "                                           {'class_name': '1',\n",
      "                                            'value': 0.91}]}}}\n"
     ]
    }
   ],
   "source": [
    "display(Markdown(\"**Evaluation results for maximize_accuracy**\"))\n",
    "\n",
    "pprint.pprint(evaluate(dest_index=dest_index, class_assignment_objective='maximize_accuracy'))\n",
    "display(Markdown(\"**Evaluation results for maximize_minimum_recall**\"))\n",
    "pprint.pprint(evaluate(dest_index=dest_index, class_assignment_objective='maximize_minimum_recall'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "photographic-management",
   "metadata": {},
   "source": [
    "For **balanced** classes both class assignment objectives achieve comparable accuracy of 90.5% and 90.9%. \n",
    "\n",
    "For `maximize_accuracy` class assignment object a slight trade-off between classes (class 0 has a lower precision of 87% and higher recall of 95%, while the class 1 with precision 95% and recall 86%). \n",
    "\n",
    "For `maximize_minimum_recall` this trade-off is even smaller: class 0 precision 91% and recall 90%, class 1 precision 90% and recall 91%.\n",
    "\n",
    "Therefore, for *classes data set with balanced classes both class assignment objectives would achieve comparable model performance*."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "comparable-crowd",
   "metadata": {},
   "source": [
    "## Unbalanced classes\n",
    "\n",
    "Let's now look at an unbalanced classification data set with 90% of data points from class 0 and 10% data points from class 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "moderate-canyon",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "analysis_job_id = 'classification_unbalanced'\n",
    "dest_index = 'classification_unbalanced_result'\n",
    "source_index = 'classification_unbalanced'\n",
    "\n",
    "X_unbalanced,y_unbalanced = make_classification(n_samples=1000, n_features=2, n_informative=2,\n",
    "                          n_redundant=0, n_repeated=0, n_classes=2, n_clusters_per_class=2,\n",
    "                          class_sep=0.5,flip_y=0,weights=[0.9,0.1], random_state=42)\n",
    "\n",
    "unbalanced_pd_df = pd.DataFrame(X_unbalanced, columns=['x1','x2'])\n",
    "unbalanced_pd_df['target'] = y_unbalanced\n",
    "\n",
    "unbalanced_ed_df = ed.pandas_to_eland(pd_df=unbalanced_pd_df, es_client=es, \n",
    "                   es_dest_index=source_index, es_if_exists='replace',\n",
    "                   es_refresh=True)\n",
    "\n",
    "# train models with different class assignment objectives\n",
    "run_job(analysis_job_id=analysis_job_id, source_index=source_index, \n",
    "        dest_index=dest_index, class_assignment_objective='maximize_accuracy')\n",
    "run_job(analysis_job_id=analysis_job_id, source_index=source_index, \n",
    "        dest_index=dest_index, class_assignment_objective='maximize_minimum_recall')\n",
    "\n",
    "# plot results\n",
    "results_unbalanced_maxacc = ed.DataFrame(es_client=es, \n",
    "                                        es_index_pattern=\"_\".join([dest_index, 'maximize_accuracy']), \n",
    "                       columns=['x1','x2','target','ml.target_prediction',\n",
    "                                'ml.is_training', 'ml.prediction_probability', 'ml.prediction_score',\n",
    "                               'ml.top_classes'])\n",
    "results_unbalanced_maxminrecall = ed.DataFrame(es_client=es, \n",
    "                                              es_index_pattern=\"_\".join([dest_index, 'maximize_minimum_recall']), \n",
    "                       columns=['x1','x2','target','ml.target_prediction',\n",
    "                                'ml.is_training', 'ml.prediction_probability', 'ml.prediction_score',\n",
    "                               'ml.top_classes'])\n",
    "\n",
    "results_unbalanced_maxacc = ed.eland_to_pandas(results_unbalanced_maxacc)\n",
    "results_unbalanced_maxminrecall = ed.eland_to_pandas(results_unbalanced_maxminrecall)\n",
    "\n",
    "f, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(20,5))\n",
    "sns.scatterplot(x=unbalanced_pd_df['x1'], y=unbalanced_pd_df['x2'], \n",
    "                hue=unbalanced_pd_df['target'], ax=ax1)\n",
    "ax1.set_title('Original unbalanced data set')\n",
    "sns.scatterplot(x=results_unbalanced_maxacc['x1'], y=results_unbalanced_maxacc['x2'], \n",
    "                hue=results_unbalanced_maxacc['ml.target_prediction'], ax=ax2)\n",
    "ax2.set_title('Maximum accuracy classification')\n",
    "sns.scatterplot(x=results_unbalanced_maxminrecall['x1'], y=results_unbalanced_maxminrecall['x2'], \n",
    "                hue=results_unbalanced_maxminrecall['ml.target_prediction'], ax=ax3)\n",
    "ax3.set_title('Maximum minimum recall classification')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nasty-surge",
   "metadata": {},
   "source": [
    "We see that results are qualitatively different. The model with the class assignment objective `maximize_accuracy` tends to predict most of the points as class 0 (blue). This misclassification is especially obvious for the individual data points outside of the \"bulk\" of the distribution. The model with the class assignment objective `maximize_minimum_recall` tends to predict those points correctly. However, it misclassified the class 0 points in the middle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "loving-thailand",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "**Evaluation results for maximize_accuracy**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'classification': {'accuracy': {'classes': [{'class_name': '0',\n",
      "                                              'value': 0.963},\n",
      "                                             {'class_name': '1',\n",
      "                                              'value': 0.963}],\n",
      "                                 'overall_accuracy': 0.963},\n",
      "                    'precision': {'avg_precision': 0.9540699525462788,\n",
      "                                  'classes': [{'class_name': '0',\n",
      "                                               'value': 0.9644779332615716},\n",
      "                                              {'class_name': '1',\n",
      "                                               'value': 0.9436619718309859}]},\n",
      "                    'recall': {'avg_recall': 0.8327777777777778,\n",
      "                               'classes': [{'class_name': '0',\n",
      "                                            'value': 0.9955555555555555},\n",
      "                                           {'class_name': '1',\n",
      "                                            'value': 0.67}]}}}\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "**Evaluation results for maximize_accuracy**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'classification': {'accuracy': {'classes': [{'class_name': '0',\n",
      "                                              'value': 0.928},\n",
      "                                             {'class_name': '1',\n",
      "                                              'value': 0.928}],\n",
      "                                 'overall_accuracy': 0.928},\n",
      "                    'precision': {'avg_precision': 0.7901353965183753,\n",
      "                                  'classes': [{'class_name': '0',\n",
      "                                               'value': 0.9893617021276596},\n",
      "                                              {'class_name': '1',\n",
      "                                               'value': 0.5909090909090909}]},\n",
      "                    'recall': {'avg_recall': 0.92,\n",
      "                               'classes': [{'class_name': '0', 'value': 0.93},\n",
      "                                           {'class_name': '1',\n",
      "                                            'value': 0.91}]}}}\n"
     ]
    }
   ],
   "source": [
    "display(Markdown(\"**Evaluation results for maximize_accuracy**\"))\n",
    "pprint.pprint(evaluate(dest_index=dest_index, class_assignment_objective='maximize_accuracy'))\n",
    "\n",
    "display(Markdown(\"**Evaluation results for maximize_accuracy**\"))\n",
    "pprint.pprint(evaluate(dest_index=dest_index, class_assignment_objective='maximize_minimum_recall'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "short-seller",
   "metadata": {},
   "source": [
    "For **unbalanced** data set, `maximize_accuracy` leads to a higher overall accuracy (96% vs. 90%). However, the recall for the class 1 is only 64%, since the model tends to classify most data points as class 0. For `maximize_minimum_recall` the recall of class 1 is 88%. The price that we pay is that now even some points from class 0 are classified as class 1 (class 1 precision of 51%).\n",
    "\n",
    "So what is the difference between `maximize_accuracy` and `maximize_minimum_recall`? \n",
    "\n",
    "Strictly speaking, both parameters result in training the same decision forest. However, once the decision forest computes the `class_probability` for class 0 and class 1, the class assignment objective influences which class is predicted at the end: using class assignment objective, we compute `class_score` from `class_probability` and then pick the class with the higher `class_score`.\n",
    "\n",
    "For `maximize_accuracy` we have `class_score`=`class_probability` so we simply take the class with the highest probability.\n",
    "\n",
    "For `maximize_minimum_recall` we estimate a threshold $k$ using an optimization procedure and compute:\n",
    "$$\n",
    "\\text{class_score}(\\text{class 0}) = \\left\\{\n",
    "\\begin{eqnarray*} \n",
    "    \\frac{k}{1.0-k}\\cdot \\text{probability}(\\text{class 0}) & \\text{ if k < 0.5}, \\notag\\\\\n",
    "    \\text{probability}(\\text{class 0}) & \\text{ else.} \\notag\n",
    "\\end{eqnarray*}\n",
    "\\right.\n",
    "$$\n",
    "$$\n",
    "\\text{class_score}(\\text{class 1}) = \\left\\{\n",
    "\\begin{eqnarray*} \n",
    "    \\text{probability}(\\text{class 1}) & \\text{ if k < 0.5}, \\notag\\\\\n",
    "    \\frac{1.0-k}{k}\\cdot \\text{probability}(\\text{class 1}) & \\text{ else.} \\notag\n",
    "\\end{eqnarray*}\n",
    "\\right.\n",
    "$$\n",
    "\n",
    "As a result, we would assign different classes for some data points especially from the minority class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "reliable-april",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "**Maximize accuracy result:**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'class_name': 1,\n",
      "  'class_probability': 0.5220394076515247,\n",
      "  'class_score': 0.5220394076515247},\n",
      " {'class_name': 0,\n",
      "  'class_probability': 0.4779605923484753,\n",
      "  'class_score': 0.4779605923484753}]\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "**Maximize minimum recall result:**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'class_name': 1,\n",
      "  'class_probability': 0.5220394076515247,\n",
      "  'class_score': 0.5220394076515247},\n",
      " {'class_name': 0,\n",
      "  'class_probability': 0.4779605923484753,\n",
      "  'class_score': 0.058146396945193454}]\n"
     ]
    }
   ],
   "source": [
    "display(Markdown('**Maximize accuracy result:**'))\n",
    "pprint.pprint(results_unbalanced_maxacc.iloc[26]['ml.top_classes'])\n",
    "display(Markdown('**Maximize minimum recall result:**'))\n",
    "pprint.pprint(results_unbalanced_maxminrecall.iloc[26]['ml.top_classes'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "relevant-accessory",
   "metadata": {},
   "source": [
    "## Conclusions\n",
    "\n",
    "We looked at how you can use the `class_assignment_objective` classification analysis parameter to signal to the model what is more important for you. Choosing the correct assignment objective is especially important if you deal with an unbalanced data set. Although we looked only at binary classification, these principles are directly applicable to the multi-class classification."
   ]
  }
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